This paper investigates modeling of flexible structures by means of the least squares support vector machine (LS-SVM) algorithm. Modeling is the first step to obtain a suitable model-based controller for any given system. Accurate modeling of a flexible structure based on experimental data using LS-SVM algorithm requires less knowledge about the physical system. Least squares support vector machine algorithm can achieve global and unique solution when compared with other soft computing algorithms. Also, LS-SVM algorithm requires less training time. In this paper, the successful use of support vector machine algorithm to model the flexible cantilever is demonstrated. The acquired model is able to provide accurate prediction of the system output under different operating conditions. Experimental results demonstrate the efficiency and high precision of the proposed approach.
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ASME 2015 Dynamic Systems and Control Conference
October 28–30, 2015
Columbus, Ohio, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5725-0
PROCEEDINGS PAPER
Modeling of Flexible Structures by Means of Least Square Support Vector Machine Available to Purchase
Hammam Tamimi,
Hammam Tamimi
University of Duisburg-Essen, Duisburg, Germany
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Dirk Söffker
Dirk Söffker
University of Duisburg-Essen, Duisburg, Germany
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Hammam Tamimi
University of Duisburg-Essen, Duisburg, Germany
Dirk Söffker
University of Duisburg-Essen, Duisburg, Germany
Paper No:
DSCC2015-9673, V002T34A005; 8 pages
Published Online:
January 12, 2016
Citation
Tamimi, H, & Söffker, D. "Modeling of Flexible Structures by Means of Least Square Support Vector Machine." Proceedings of the ASME 2015 Dynamic Systems and Control Conference. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications. Columbus, Ohio, USA. October 28–30, 2015. V002T34A005. ASME. https://doi.org/10.1115/DSCC2015-9673
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